
- 书名:Mathematics of Deep Learning: An Introduction
- 出版社:de Gruyter
- 作者:Leonid Berlyand, Pierre-Emmanuel Jabin
- 出版年份:2023
- 电子书格式: pdf
- 简介:Dive into the mathematical foundations of deep learning with “Mathematics of Deep Learning: An Introduction” by Leonid Berlyand and Pierre-Emmanuel Jabin. This 2023 de Gruyter publication provides a comprehensive yet accessible exploration of the key mathematical concepts underpinning modern deep learning techniques. From linear algebra and calculus to probability and optimization, the book equips readers with the theoretical understanding needed to design, implement, and analyze deep learning models effectively. Ideal for students, researchers, and practitioners seeking a deeper understanding of this transformative field.
- ISBN:9783111024318, 31110
- 下载地址(点击下载):
声明:本站所有电子书,均为来自网络。任何个人或组织,在未征得本站同意时,禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益,可联系我们进行处理。

评论(0)